Adaptive Learning for Successful Flexible Manufacturing Cell Design: A Case Study
In Chapter 13 we presented a method (the P-learning algorithm) for adaptive learning of successful designs that is based on the use of statistical experimental design and stochastic search algorithm. This chapter involves a real industrial problem of designing a flexible manufacturing system that was solved based on the P-learning algorithm.
KeywordsTaguchi Method Functional Requirement Flexible Manufacturing System Interarrival Time Part Type
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